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Job description
Work across a variety of industries and projects, acting as the bridge between business stakeholders and data engineering teams to translate business needs into scalable data solutions.
Responsibilities:
- Plan and conduct the Data Discovery phase.
- Discovers and elicits business and data requirements and reviews the BI architecture.
- Proficient in applying Big Data, DWH, and Data Lake concepts to support specific business functions or processes.
- Analyze data sources and document the requirements in artifacts such as data flow diagrams, entity relationship diagrams, and user stories.
- Identify data quality and data consistency issues and propose solutions.
- Design the functional solution, translate business requirements into functional descriptions, and define the conceptual and logical data model.
- Define data ingestion, validation, cleaning, processing, and ETL requirements.
- Apply required data modeling and analysis tools, methods, and standards, like data dictionary, data lineage, source to target mapping.
- Bridges the gap between business-related matters and their technical implementation through refinement and clarification of requirements.
- Ability to translate complex data into clear, actionable insights for technical and business stakeholders
- Experience using data visualization tools and SQL-based data platforms to develop analytical solutions
- Proficient in SDLC (Planned Iterative, Agile).
- Excellent spoken and written English language skills.
- Solid experience in large international projects working with multicultural teams.
At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.
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